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Qi Lou
Qi Lou
PhD in Computer Science, machine learning engineer at Snap Inc.
Verified email at snapchat.com - Homepage
Title
Cited by
Cited by
Year
Deep multi-instance networks with sparse label assignment for whole mammogram classification
W Zhu, Q Lou, YS Vang, X Xie
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, 2017
2192017
Instance annotation for multi-instance multi-label learning
F Briggs, XZ Fern, R Raich, Q Lou
ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-30, 2013
262013
Dynamic importance sampling for anytime bounds of the partition function
Q Lou, R Dechter, A Ihler
The Thirty-first Annual Conference on Neural Information Processing Systems …, 2017
162017
Anytime anyspace AND/OR search for bounding the partition function
Q Lou, R Dechter, A Ihler
The Thirty-first AAAI Conference on Artificial Intelligence (AAAI-17), 2017
132017
Curve intersection using hybrid clipping
Q Lou, L Liu
Computers & Graphics 36 (5), 309-320, 2012
82012
Novelty detection under multi-label multi-instance framework
Q Lou, R Raich, F Briggs, XZ Fern
2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013
62013
Content-based effectiveness prediction of video advertisements
Q Lou, S Sarkhel, S Mitra, V Swaminathan
The 20th IEEE International Symposium on Multimedia (ISM-18), 2018
52018
Sequential embedding induced text clustering, a non-parametric bayesian approach
T Duan, Q Lou, SN Srihari, X Xie
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 68-80, 2019
42019
Anytime anyspace AND/OR best-first search for bounding marginal MAP
Q Lou, R Dechter, A Ihler
The Thirty-second AAAI Conference on Artificial Intelligence (AAAI-18), 2018
42018
Interleave variational optimization with Monte Carlo sampling: A tale of two approximate inference paradigms
Q Lou, R Dechter, A Ihler
The Thirty-third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
32019
Finite-sample bounds for marginal MAP
Q Lou, R Dechter, A Ihler
The Thirty-fourth Conference on Uncertainty in Artificial Intelligence (UAI-18), 2018
12018
Utilizing a trained multi-modal combination model for content and text-based evaluation and distribution of digital video content to client devices
V Swaminathan, S Mitra, S Sarkhel, Q Lou
US Patent 10,860,858, 2020
2020
Anytime approximate inference in graphical models
Q Lou
University of California, Irvine, 2018
2018
A framework for analyzing bioacoustics audio recordings as multiple instance multiple label data
R Raich, F Briggs, Q Lou, X Fern, D Mellinger
Proceedings of Meetings on Acoustics ICA2013 19 (1), 010013, 2013
2013
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Articles 1–14